A review of motion planning algorithms for intelligent robots
Principles of typical motion planning algorithms are investigated and analyzed in this paper.
These algorithms include traditional planning algorithms, classical machine learning …
These algorithms include traditional planning algorithms, classical machine learning …
A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …
research because of its multi-faceted advantages that includes improved safety, reduced …
Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Risk-based autonomous vehicle motion control with considering human driver's behaviour
The selected motions of autonomous vehicles (AVs) are subject to the constraints from the
surrounding traffic environment, infrastructure and the vehicle's dynamic capabilities …
surrounding traffic environment, infrastructure and the vehicle's dynamic capabilities …
System and experiments of model-driven motion planning and control for autonomous vehicles
This article presents a model-based motion planning and control system for autonomous
vehicles and its experimental validation. The system consists of four modules: 1) global …
vehicles and its experimental validation. The system consists of four modules: 1) global …
A probabilistic risk assessment framework considering lane-changing behavior interaction
Understanding the dynamic characteristics of surrounding vehicles and estimating the
potential risk of mixed traffic can help reliable autonomous driving. However, the existing risk …
potential risk of mixed traffic can help reliable autonomous driving. However, the existing risk …
Motion planning for urban autonomous driving using Bézier curves and MPC
This paper presents a real-time motion planning scheme for urban autonomous driving that
will be deployed as a basis for cooperative maneuvers defined in the European project …
will be deployed as a basis for cooperative maneuvers defined in the European project …
Applications and challenges of artificial intelligence in space missions
PA Oche, GA Ewa, N Ibekwe - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is increasingly finding acceptance in the space community,
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …